Data labeling is a really big deal. In this week’s Tech Tuesday, I’ll discuss what data labeling is, why it’s so important to A.I., what the biggest players in the data labeling space do, and share my thoughts on the…
This week, I’m happy to review a couple of areas where I feel data science is making important moral advances. First of all, the idea of paying users for using their data; and secondly how social networks are testing ways…
Data science has the potential to inform critical decisions, allowing companies to automate or scale processes and improve their business. This week, I’ll cover five ways we’ve recently used data science to help our clients improve their bottom line. Some…
Sometimes several small solutions perform better than one big one. This week I want to show you why it’s worth considering replacing one big predictive model with multiple smaller ones. This is something we’ve been doing for our clients lately…
A.I. is becoming more and more ubiquitous, from recommending the (sometimes only) news we read to assessing our risk and policy specifics for insurance to deciding whether or not we qualify for a mortgage. With such power implicated in A.I.…
We’ve seen language models before: enter a question and an A.I. provides the “answer”. Nowadays, A.I. has gotten so good that humans cannot differentiate between an A.I.-derived answer and a human-given answer. Language models have been called the greatest A.I.…
The esteemed journal Nature recently published an article titled, Predicting COVID-19 mortality with electronic medical records. That’s a big deal. Because it’s not a study looking at predicting mortality from hospital records of admitted patients; rather it uses only electronic…
Newsfeeds have proven to be powerful if controversial parts of social networks. Instagram has one. So do Twitter, TikTok, and Facebook. All have seen their share of negative press as of late, revolving largely around how fake news may affect…
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